How Google Translate and Bing Translator Cope with Grammar
| Author | : Xiang Weng |
| Publisher | : |
| Total Pages | : |
| Release | : 2011 |
| Genre | : |
| ISBN | : |
Download How Google Translate and Bing Translator Cope with Grammar Book in PDF, ePub and Kindle
How Google Translate And Bing Translator Cope With Grammar PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download How Google Translate And Bing Translator Cope With Grammar PDF full book. Access full book title How Google Translate And Bing Translator Cope With Grammar.
Natural Language Understanding with Python
| Author | : Deborah A. Dahl |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 326 |
| Release | : 2023-06-30 |
| Genre | : Computers |
| ISBN | : 1804612995 |
Download Natural Language Understanding with Python Book in PDF, ePub and Kindle
Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print Kindle book includes a free PDF eBook Key Features Master NLU concepts from basic text processing to advanced deep learning techniques Explore practical NLU applications like chatbots, sentiment analysis, and language translation Gain a deeper understanding of large language models like ChatGPT Book DescriptionNatural Language Understanding facilitates the organization and structuring of language allowing computer systems to effectively process textual information for various practical applications. Natural Language Understanding with Python will help you explore practical techniques for harnessing NLU to create diverse applications. with step-by-step explanations of essential concepts and practical examples, you’ll begin by learning about NLU and its applications. You’ll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you’ll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you’ll also discover practical issues such as acquiring data, evaluating systems, and deploying NLU applications along with their solutions. The book is a comprehensive guide that’ll help you explore techniques and resources that can be used for different applications in the future. By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications.What you will learn Explore the uses and applications of different NLP techniques Understand practical data acquisition and system evaluation workflows Build cutting-edge and practical NLP applications to solve problems Master NLP development from selecting an application to deployment Optimize NLP application maintenance after deployment Build a strong foundation in neural networks and deep learning for NLU Who this book is for This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must.
Translation, Brains and the Computer
| Author | : Bernard Scott |
| Publisher | : Springer |
| Total Pages | : 249 |
| Release | : 2018-06-06 |
| Genre | : Computers |
| ISBN | : 3319766295 |
Download Translation, Brains and the Computer Book in PDF, ePub and Kindle
This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attributes the cause to language’s ambiguity and complexity and their interplay in logic-driven processes. For non-linguistic, data-driven systems, the book attributes translation shortcomings to the very lack of linguistics. It then proposes a demonstrable way to relieve these drawbacks in the shape of a working translation model (Logos Model) that has taken its inspiration from key assumptions about psycholinguistic and neurolinguistic function. The book suggests that this brain-based mechanism is effective precisely because it bridges both linguistically driven and data-driven methodologies. It shows how simulation of this cerebral mechanism has freed this one MT model from the all-important, classic problem of complexity when coping with the ambiguities of language. Logos Model accomplishes this by a data-driven process that does not sacrifice linguistic knowledge, but that, like the brain, integrates linguistics within a data-driven process. As a consequence, the book suggests that the brain-like mechanism embedded in this model has the potential to contribute to further advances in machine translation in all its technological instantiations.
European Language Equality
| Author | : Georg Rehm |
| Publisher | : Springer Nature |
| Total Pages | : 441 |
| Release | : 2023-07-08 |
| Genre | : Computers |
| ISBN | : 303128819X |
Download European Language Equality Book in PDF, ePub and Kindle
This open access book presents a comprehensive collection of the European Language Equality (ELE) project’s results, its strategic agenda and roadmap with key recommendations to the European Union on how to achieve digital language equality in Europe by 2030. The fabric of the EU linguistic landscape comprises 24 official languages and over 60 regional and minority languages. However, language barriers still hamper communication and the free flow of information. Multilingualism is a key cultural cornerstone of Europe, signifying what it means to be and to feel European. Various studies and resolutions have found a striking imbalance in the support of Europe’s languages through technologies, issuing a call to action. Following an introduction, the book is divided into two parts. The first part describes the state of the art of language technology and language-centric AI and the definition and metrics developed to measure digital language equality. It also presents the status quo in 2022/2023, i.e., the current level of technology support for over 30 European languages. The second part describes plans and recommendations on how to bring about digital language equality in Europe by 2030. It includes chapters on the setup and results of the community consultation process, four technical deep dives, an overview of existing strategic documents and an abridged version of the strategic agenda and roadmap. The recommendations have been prepared jointly with the European community in the fields of language technology, natural language processing, and language-centric AI, as well as with representatives of relevant initiatives and associations, language communities and regional and minority language groups. Ensuring appropriate technology support for all European languages will not only create jobs, growth and opportunities in the digital single market. Overcoming language barriers in the digital environment is also essential for an inclusive society and for providing unity in diversity for many years to come.
Multilingual Access and Services for Digital Collections
| Author | : Jiangping Chen |
| Publisher | : Bloomsbury Publishing USA |
| Total Pages | : 235 |
| Release | : 2016-01-18 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1440839557 |
Download Multilingual Access and Services for Digital Collections Book in PDF, ePub and Kindle
This unique guide offers you a thorough understanding of multilingual information access (MLIA) and services and related concepts, such as database design, information retrieval, machine translation, and natural language processing. Written for digital library developers, library and information science graduate students, and information professionals serving international information users, this book defines multilingual information access (MLIA) and discusses the importance of enabling international users to access digital collections. Based on a systematic review of the research and development carried out on cross-language information retrieval, machine translation, and case studies of current multilingual digital libraries, the author clearly explains what you need to know about technologies for building MLIA function for digital collections. The book leads you through an examination of Internet language services and tools that are useful for developing multilingual digital libraries and for assisting international users in accessing digital resources. Content is further clarified by two research projects that are presented to demonstrate the application of technologies used to build MLIA functions and multilingual user interfaces. The book concludes with possible strategies for using Internet language services and tools to implement MLIA function for digital collections.
The Future of Translation Technology
| Author | : Chan Sin-wai |
| Publisher | : Routledge |
| Total Pages | : 289 |
| Release | : 2016-10-26 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 131755325X |
Download The Future of Translation Technology Book in PDF, ePub and Kindle
Technology has revolutionized the field of translation, bringing drastic changes to the way translation is studied and done. To an average user, technology is simply about clicking buttons and storing data. What we need to do is to look beyond a system’s interface to see what is at work and what should be done to make it work more efficiently. This book is both macroscopic and microscopic in approach: macroscopic as it adopts a holistic orientation when outlining the development of translation technology in the last forty years, organizing concepts in a coherent and logical way with a theoretical framework, and predicting what is to come in the years ahead; microscopic as it examines in detail the five stages of technology-oriented translation procedure and the strengths and weaknesses of the free and paid systems available to users. The Future of Translation Technology studies, among other issues: The Development of Translation Technology Major Concepts in Computer-aided Translation Functions in Computer-aided Translation Systems A Theoretical Framework for Computer-Aided Translation Studies The Future of Translation Technology This book is an essential read for scholars and researchers of translational studies and computational linguistics, and a guide to system users and professionals.
Translation, Brains and the Computer
| Author | : Bernard Scott |
| Publisher | : Springer |
| Total Pages | : 249 |
| Release | : 2018-06-06 |
| Genre | : Computers |
| ISBN | : 3319766295 |
Download Translation, Brains and the Computer Book in PDF, ePub and Kindle
This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attributes the cause to language’s ambiguity and complexity and their interplay in logic-driven processes. For non-linguistic, data-driven systems, the book attributes translation shortcomings to the very lack of linguistics. It then proposes a demonstrable way to relieve these drawbacks in the shape of a working translation model (Logos Model) that has taken its inspiration from key assumptions about psycholinguistic and neurolinguistic function. The book suggests that this brain-based mechanism is effective precisely because it bridges both linguistically driven and data-driven methodologies. It shows how simulation of this cerebral mechanism has freed this one MT model from the all-important, classic problem of complexity when coping with the ambiguities of language. Logos Model accomplishes this by a data-driven process that does not sacrifice linguistic knowledge, but that, like the brain, integrates linguistics within a data-driven process. As a consequence, the book suggests that the brain-like mechanism embedded in this model has the potential to contribute to further advances in machine translation in all its technological instantiations.
The Oxford Handbook of Computational Linguistics
| Author | : Ruslan Mitkov |
| Publisher | : Oxford University Press |
| Total Pages | : 1377 |
| Release | : 2022-03-09 |
| Genre | : |
| ISBN | : 0199573697 |
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Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Modern Computational Models of Semantic Discovery in Natural Language
| Author | : Žižka, Jan |
| Publisher | : IGI Global |
| Total Pages | : 353 |
| Release | : 2015-07-17 |
| Genre | : Computers |
| ISBN | : 146668691X |
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Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.
ICT Analysis and Applications
| Author | : Simon Fong |
| Publisher | : Springer Nature |
| Total Pages | : 763 |
| Release | : 2022-11-05 |
| Genre | : Technology & Engineering |
| ISBN | : 9811952248 |
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This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
